Results 61 to 70 of about 112,263 (200)

Can education be personalised using pupils’ genetic data?

eLife, 2020
The increasing predictive power of polygenic scores for education has led to their promotion by some as a potential tool for genetically informed policy. How accurately polygenic scores predict an individual pupil's educational performance conditional on
Tim T Morris, Neil M Davies, George Davey Smith   +2 more
doaj   +1 more source

Response to mass selection when an identified major gene is segregating [PDF]

, 1998
A deterministic model to predict response with mass selection when a major locus is segregating is presented. The model uses a selection index framework in which the weight of the different components included in the index are adjusted to describe the ...
Ricardo Pong-Wong, Pong-Wong, R.; id_orcid, John A. Woolliams, Woolliams, John, John A Woolliams   +4 more
core   +1 more source

Gut Microbial Genetic Variation Prolongs Host Healthy Longevity and Remodels Metabolome and Proteome in Drosophila Melanogaster

Advanced Science
Microbial genetic variation plays a crucial role in shaping host‐microbe interactions; however, its impact on healthy aging remains largely unexplored.
Liying Wang, Ziling Yang, Yulu Pang, Xinyue Wu, Xinrong Zhang, Tao Zhu, Xiaoyue Ding, Wei Liu, Yuan Zhou, Pengcheng Zhang, Ying Li, Zuobin Zhu   +11 more
doaj   +1 more source

Harnessing gut microbiota for longevity: Insights into mechanisms and genetic manipulation

iMetaOmics
The gut microbiota is pivotal in maintaining health, with most microorganisms being beneficial, except for a few pathogens. Emerging evidence suggests a link between the gut microbiome and aging, hinting at its potential role in longevity.
Peng Shi, Simin Xu, Ziling Yang, Liying Wang, Yalun Wu, Ying Li, Zuobin Zhu   +6 more
doaj   +1 more source

Results of Polygenic Risk Scoring.

, 2016
Results of Polygenic Risk Scoring.
Stephen J. Newhouse (262102), Gerome Breen (15025), Jack Euesden (3390296), Fazil Aliev (797465), David A. Collier (184865), Xiaohong Ma (462719), Philip Asherson (524714), Gursharan Kalsi (797471), Tao Li (86810), Yingcheng Wang (462720), Jonathan R. I. Coleman (3390299), Francesca Ducci (133630), Xiehe Liu (3390293)   +12 more
core   +1 more source

Polygenic selection on educational attainment: a replication

, 2016
The genetic variants identified by three large genome-wide association studies (GWAS) of educational attainment were used to test a polygenic selection model.Average frequencies of alleles with positive effect (polygenic scores) were compared across ...
Davide Piffer (630526)
core   +1 more source

Distribution of polygenic risk scores in the PGSNPS cohort.

, 2016
A) Non-weighted polygenic risk score. B) Weighted polygenic risk score.
Chris Twelves (3156528), Siddhartha Kar (510873), Jean E. Abraham (3156513), Paul D. P. Pharoah (146906), Anne-Laure Vallier (3156534), Leila Dorling (3156525), Christopher J. Poole (3156516), Louise Hiller (39742), Kyriaki Michailidou (205130), Janet A. Dunn (3156531), Carlos Caldas (1042), Susan Ingle (3156522), Sarah J. Bowden (3156519), Richard Hardy (3156537), Helena M. Earl (695366)   +14 more
core   +1 more source

Heritability and complex segregation analysis of diabetes mellitus in American Eskimo Dogs

Journal of Veterinary Internal Medicine, 2019
Background Heritability and mode of inheritance of spontaneous diabetes mellitus (DM) in American Eskimo Dogs (AED) are unknown. Objective Investigate the heritability and mode of inheritance of DM in AED.
Stephen V. Cai, Thomas R. Famula, Anita M. Oberbauer, Rebecka S. Hess   +3 more
doaj   +1 more source

Performance of polygenic risk scores for eBMD.

, 2018
Performance of polygenic risk scores for eBMD.
Stuart K. Kim (112150)
core   +1 more source

Distribution of polygenic scores in the NHS.

, 2022
Distribution of the global and pathway polygenic scores in the NHS. NHS, Nurses’ Health Study. (PNG)
Liming Liang (69800), Qi Sun (127), Wonil Chung (5209091), Jun Li (6494), Jose C. Florez (8811083), Jae H. Kang (7832345), Yanping Li (90163), Yang Hu (315392), Jordi Merino (10208466), Walter C. Willet (12462831), Frank B. Hu (8909476), Baoshan Ma (6477869), JoAnn E. Manson (9167155), Peter Kraft (15118), Marta Guasch-Ferré (311713), Paul W. Franks (7703417)   +15 more
core   +1 more source